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Digital Twin Consortium
The Digital Twin Consortium® is a global ecosystem of users who are accelerating the digital twin market and demonstrating the value of digital twin technology. Members set de facto technical guidelines and taxonomies, publish reference frameworks, develop requirements for new standards and share use cases to maximize the benefits of digital twins. [1]

A program of Object Management Group® (OMG®), Digital Twin Consortium is The Authority in Digital Twin. It coalesces industry, government, and academia to drive consistency in vocabulary, architecture, security, and interoperability of digital twin technology. It advances the use of digital twin technology from aerospace to natural resources. [2]

History
The Digital Twin Consortium was founded on May 18th, 2020 by Ansys, Autodesk, Bentley Systems, General Electric, Lendlease, Dell, Northrop Grumman and Microsoft. The parent company is the Object Management Group, and while not a standards organization assists the consortium stakeholders. The consortium was formed to bring together industry players — from multinational corporations, small and large technology innovators and academia and governments — to accelerate the development, adoption and widespread use of Digital Twin technologies around the world. [3]

Membership
The Digital Twin Consortium when it was launched had grown to 150+ members within its first 6 months and it continues to grow. Membership is broken down into founding members, groundbreaking members who were early adopters of the organization and a running list of members that is continually updated. Digital Twin Consortium is open to any business, organization, or entity with an interest in digital twins. Its global membership is committed to using digital twins throughout their operations and supply chains and capturing best practices and standards requirements for themselves and their clients. ^[4]

Mission & Objectives
Digitalization is projected generate up to $11.1 trillion/year in economic value, according to McKinsey, and digital twin technologies are a key enabling technology. But along with this promising new technology comes specific challenges to adoption. The challenges to fully realizing the potential of digital twin include limited interoperability, market confusion, and the heavy investment required in people and technology. [5]

Digital Twin Consortium will define the ecosystem, identify requirements for standards, develop architectures, identify gaps, and publish open-source code. This will be done in partnership between industry, academia, and government in a collaborative open environment.

Implementation Challenges
'''Digital twins can be challenging to implement due to interoperability issues, market confusion and the high stakes involved with getting started. The challenges include:'''

o   Limited interoperability because digital twin technology does not always work across the product lifecycle, multiple digital twins do not interoperate, teams often work in silos and there are no standards. In addition, legacy environments create issues as they were not designed for digital twin technology and have older technology code that cannot easily share data. [6]

o   Market confusion due the fact that there are limited use cases to learn from others, little research available on how to budget, and on defining requirements for projects and determining a minimally viable digital twin. In addition, it’s difficult to decide what technologies to use and to determine how to get value. There is also both a knowledge and skills gap. [7]

o   High stakes are involved given the heavy investment of money and people to get started on digital twin projects. Other hurdles that need to be overcome include the fact that the software world does not apply to the digital twin world, there are no defined answers to what to use, when to use it and how to use it. Once you chose a digital twin path you must stay on it. [8]

Addressing Digital Twin Challenges
Digital Twin Consortium will improve interoperability, accelerate the market, and demonstrate the value of digital twin technologies in the following ways:

·       Interoperability - Digital Twin Consortium members will develop best practices for security, privacy, and trustworthiness, create a library of reference implementations for digital twins, provide frameworks to better work across the digital twin technology stack and will influence the requirements for digital twin standards. These efforts will ensure digital twin models interoperate throughout a product’s lifecycle and across the technology stack, help users integrate digital twins with existing systems, equipment, and infrastructure. [12]

·       Market acceleration – Digital Twin Consortium will influence the direction for digital twin technology through a collaborative, neutral industry ecosystem. Members will influence the solution roadmaps for digital twin vendors, set de facto industry guidelines for digital twin technology, and reduce the skills gap by creating an ecosystem of experts working together. [12]

·       Value – Digital Twin Consortium will demonstrate the value of digital twins to help maximize their quantifiable outcomes. It will share open-source code; help influence the direction of the market and help users get their projects online faster. By combining resources, members can reduce the risk and enhance their R&D through collaboration. Members will learn from experts and use cases that they can apply to their industries. [12]

Working Groups
The Consortium is organized in six working groups: [9]

o   Technology, Taxonomy, and Terminology - The Digital Twin Technology, Terminology & Taxonomy Working Group will recommend a preferred definition, taxonomy, and, ultimately, hierarchy of “Digital Twins” to enable the industry to speak with a common vocabulary on this concept – enabling better understanding through shared definition and vernacular. [9]

o   Manufacturing - Manufacturing is becoming increasingly digital and digital twins can be applied during the engineering, design, production, and operations phases of a product lifecycle to improve products and predict or detect problems. The manufacturing digital twin working group will focus on the applicability of digital twin to the manufacturing process in various industries. [9]

o   Defense & Aerospace - Defense and Aerospace companies and Government Agencies have been early adopters of Digital Twins with significant usage already in the operation phase. As an example, the USAF has significant Condition Based Monitoring (CBM+) initiatives. The Defense and Aerospace Digital Twin working group will focus on the applicability of Digital Twins across the lifecycle in various industries. [9]

o   Infrastructure - Create more live-able, workable, and sustainable communities; reduce cost – efficiency in how we design, build and operate infrastructure; use data to deliver improved services; sustainable promoting circular economy - the way we produce, assemble, sell and use products to minimize waste, and to reduce our environmental impact. [9]

o   Natural Resources - Natural resources related sectors, including Oil & Gas and mining, and utilities sectors are becoming increasingly digital. Digital twins can be applied during the engineering, design, construction and deployment, and operations phases of the lifecycle to improve production and predict or detect problems as well as improve safety. The natural resources digital twin working group will address the applicability of digital twin to the upstream Oil & Gas processes, Minerals and Mining, Energy (Power and Renewables) and Utilities (water and gas). [9]

o   Marketing – promote Digital Twin Consortium members and staff as thought leaders and the Consortium as the leading authority on digital twin. [9]

Steering Committee
List of the Digital Twin Consortium steering committee [10]

Bill Ruh- Lendlease

Ron Zahavi- Microsoft

Pirth Banjarjee- Ansys

Mr. Adam Klatzkin Bentley Systems
Said Tabet- Dell Technologies

Colin Parris- General Electric

Laura Szypulski- Northrop Grumman

Nicolas Mangon- AutoDesk

Richard Soley- Digital Twin Consortium

Richard Ferris- Lendlease

Sameer Kher- Ansys

Jon Dunsdon- General Electric

Greg Fallon- AutoDesk

Bill Hoffman- Digital Twin Consortium

Digital Twin Consortium Parent Organization, Object Management Group
The Object Management Group® (OMG®) is an international, open membership, not-for-profit technology standards consortium, founded in 1989. OMG standards are driven by vendors, end-users, academic institutions, and government agencies. OMG Task Forces develop enterprise integration standards for a wide range of technologies and an even wider range of industries. OMG’s modeling standards, including the Unified Modeling Language® (UML®) and Model Driven Architecture® (MDA®), enable powerful visual design, execution and maintenance of software and other processes. [11]

OMG also hosts organizations such as the Consortium for Information & Software Quality™ (CISQ™), the DDS Foundation and BPM+ Health. In addition, OMG manages the Industrial Internet Consortium® (IIC™), aka the Industry IoT Consortium®, and Digital Twin Consortium™. [11]